Author
Updated
15 Dec 2023Form Number
LP1812PDF size
17 pages, 400 KBAbstract
The ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU is a powerful universal GPU for the data center, delivering breakthrough multi-workload acceleration for Generative AI and large language model (LLM) inference and training, graphics, and video applications.
This product guide provides essential presales information to understand the NVIDIA L40S GPU and its key features, specifications, and compatibility. This guide is intended for technical specialists, sales specialists, sales engineers, IT architects, and other IT professionals who want to learn more about the NVIDIA L40S GPU and consider its use in IT solutions.
Change History
Changes in the December 15, 2023 update:
- The L40S is now supported in the SR665 V3 and SR650 V3 - Server support section
- Updated auxiliary power cable information - Auxiliary power cables section
Introduction
The ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU based on the Ada Lovelace architecture, is a powerful universal GPU for the data center, delivering breakthrough multi-workload acceleration for large language model (LLM) inference and training, graphics, and video applications. As the premier platform for multi-modal generative AI, the L40S GPU provides end-to-end acceleration for inference, training, graphics, and video workflows to power the next generation of AI-enabled audio, speech, 2D, video, and 3D applications.
The following figure shows the ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU.
Figure 1. ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU
Did you know?
AI models are exploding in complexity and popularity with the disruption led by large language models (LLMs) such as ChatGPT and generative AI diffusion models. L40S’s fourth-generation Tensor Cores with the Transformer Engine and new FP8 data format enable AI performance that exceeds the NVIDIA A100 Tensor Core GPUs for many AI training and inference workloads.
Part number information
The following table shows the ordering information for the NVIDIA L40S GPU.
Note: The NVIDIA L40S GPU is not available in the following markets: China, Hong Kong, Macau
Part number | Feature code | Description |
---|---|---|
4X67A90669 | BYFH | ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU |
The option part number includes the following:
- One NVIDIA L40S GPU with full-height (3U) adapter bracket attached
- Documentation
Features
Generative AI is fueling transformative change, unlocking a new frontier of opportunities for enterprises across every industry. To transform with AI, enterprises need more compute resources, greater scale, and a broad set of capabilities to meet the demands of an ever-increasing set of diverse and complex workloads.
The NVIDIA L40S GPU is the most powerful universal GPU for the data center, delivering end-to-end acceleration for the next generation of AI-enabled applications—from generative AI and model training and inference to 3D graphics, rendering, and video applications.
Enterprises are looking to use mainstream infrastructure to satisfy their compute needs, but training state-of-the-art models requires massive compute capability. For LLM models, eight L40S’s in mainstream servers bring up to 1.7X the training performance of an NVIDIA HGX™ A100 8-GPU system, giving enterprises fast time to solution with traditional infrastructure. When compared to the A100 80GB SXM for inference, the L40S delivers up to 1.2X more generative AI inference performance using StableDiffusion and up to 1.5X inference performance on popular networks, such as those included within the MLPerf benchmark.
Key use cases of the NVIDIA L40S GPU:
- Generative AI
The AI, graphics, and media acceleration capabilities of the L40S GPU make it the premier platform for multi-modal generative AI pipelines. With powerful inferencing capabilities, combined with NVIDIA RTX™-accelerated ray tracing and dedicated encode and decode engines, the L40S accelerates AI-enabled audio, speech, 2D, video, and 3D generative AI applications.
For image generative AI inference, the L40S GPU delivers more than 5X higher performance than the previous-generation NVIDIA A40 GPU and 1.2X more performance than the HGX A100. This breakthrough performance, combined with 48GB of memory capacity, makes the L40S GPU the ideal generative AI platform for high-quality images and immersive visual content.
- LLM Inference and Training
Accelerate training, fine tuning, and inference workloads with powerful throughput and floating-point performance to build and deploy state-of-the-art AI models. Powerful NVIDIA-Certified Systems™ with eight L40 GPUs can train foundational models with up to 175 billion parameters to convergence and accelerate fine-tuning and retraining of existing large-scale models to adapt them for new tasks.
Combining NVIDIA’s full stack of inference serving software with the compute capabilities of the L40S provides a powerful platform for trained models ready for inference. With support for structural sparsity and a broad range of precisions, including TF32, INT8, and FP8, the L40S delivers over 1 petaFLOPS of inference operation performance, delivering actionable insights with speed and precision.
- AI-Ready Development Platform with NVIDIA AI Enterprise
Enterprise adoption of AI is now mainstream and leading to an increased demand for skilled AI developers and data scientists. Organizations require a flexible, high-performance platform consisting of optimized hardware and software to maximize productivity and accelerate AI development.
NVIDIA AI Enterprise is an end-to-end, enterprise-grade AI software platform that offers 100+ frameworks, pretrained models, and libraries to streamline development and deployment of production AI, including generative AI, computer vision, and speech AI. Optimized and certified for reliable performance, NVIDIA AI Enterprise, together with the L40S, provides a unified platform to develop applications once and deploy anywhere, reducing the risks involved with moving from pilot to production.
- Rendering and 3D Graphics
Running professional 3D visualization applications with NVIDIA L40S enables creative professionals to iterate more, render faster, and unlock tremendous performance advantages that increase productivity and speed up project completion. The NVIDIA L40S's third-generation RT Cores and industry-leading 48GB of GDDR6 memory deliver up to 2X the real-time ray-tracing performance of the previous generation.
With these capabilities, artists and designers can work with complex geometry and high-resolution textures in real time to generate photorealistic designs and power full-fidelity creative workflows, from interactive rendering to virtual production.
- NVIDIA Omniverse
NVIDIA Omniverse is a multi-GPU-enabled open platform for Universal Scene Description (USD)-based collaboration and real-time photorealistic simulation. The full-stack platform based on USD and NVIDIA RTX is the powerful culmination of NVIDIA's core graphics, compute, and AI technologies. NVIDIA L40S GPUs bring powerful AI and RTX capabilities to accelerate 3D content creation and industrial digitalization.
For the most complex Omniverse workloads like extended reality (XR), multi-user design collaboration, and digital twins, the NVIDIA L40S enables ray-traced and path-traced rendering of materials, physically accurate simulations, and generation of photorealistic 3D synthetic data.
- Streaming and Video Content
The NVIDIA L40S takes streaming and video content workloads to the next level, delivering breakthrough media acceleration capabilities with three video encode and three video decode engines. With the addition of AV1 encoding, the L40S delivers up to 2X the performance and improved TCO for broadcast streaming, video production, and transcription workloads.
- Virtual Workstations
When combined with NVIDIA RTX Virtual Workstation (vWS) software, the NVIDIA L40S can be virtualized to deliver high-performance workstation instances to remote users for high-end design, AI, and compute workloads. With 48GB of GPU memory, the NVIDIA L40S with vWS enables flexible, work-from-anywhere solutions for GPU memory-intensive workloads.
Technical specifications
The NVIDIA L40S GPU has the following specifications:
- Form factor
- PCIe Full Height Full Length adapter (4.4-in x 10.5-in), Double-width (dual slot)
- NVIDIA Form Factor 5.5
- Host interface:
- PCIe 4.0 x16
- MSI-X interrupt messaging protocol (MSI not supported)
- PCIe Lane Polarity Inversion and Lane Reversal
- Single Root I/O Virtualization (SR-IOV) support
- 256 virtual functions (VFs)
- ARI Forwarding
- Hardware Root of Trust
- Secure boot
- Secure firmware upgrade
- Firmware rollback protection
- Support for in-band firmware update disable (established after each GPU reset)
- Secure application processor recovery
The following table lists the GPU processing specifications and performance of the NVIDIA L40S GPU.
Feature | Specification |
---|---|
GPU Architecture | NVIDIA Ada Lovelace |
NVIDIA CUDA Parallel Processing Cores | 18,176 |
NVIDIA Tensor Cores (4th gen) | 568 |
NVIDIA RT Cores (3rd Gen) | 142 |
Peak FP32 performance (non-Tensor) | 91.6 TFLOPS |
Peak FP16 Tensor performance | 362.05 TFLOPS, 733 TFLOPS* |
Peak Tensor Float 32 (TF32) performance | 183 TFLOPS, 366 TFLOPS* |
Peak Bfloat16 (BF16) Tensor performance | 362.05 TFLOPS, 733 TFLOPS* |
Peak FP8 Tensor performance | 733 TFLOPS, 1466 TFLOPS* |
Peak INT8 Integer Performance | 733 TOPS, 1466 TOPS* |
Peak INT4 Integer Performance | 733 TOPS, 1466 TOPS* |
RT Core performance | 209 TFLOPS |
GPU Memory | 48 GB GDDR6 |
Memory Bandwidth | 864 GB/s |
ECC | Yes |
NVIDIA NVLink | No support |
System Interface | PCIe Gen 4, x16 lanes |
Form Factor | PCIe full height/length, double width (10.5" x 4.4") |
Multi-Instance GPU (MIG) | No support |
Max Power Consumption | 350 W |
Thermal Solution | Passive |
vGPU Software Support | NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation (vWS) |
Display connectors | 4x DisplayPort 1.4a |
Max Simultaneous Displays | Up to four 5K Monitors at 60Hz per card or dual 8K displays @ 60Hz (requires DisplayPort 1.4 DSC); Each display port can support 4K at 120 Hz with 30-bit color |
Graphics APIs | DirectX 12 Ultimate, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3 |
Compute APIs | CUDA 12.0, Direct Compute, OpenCL 3.0 |
* With structural sparsity enabled
Server support
The following tables list the ThinkSystem servers that are compatible.
Part Number | Description | 2S AMD V3 | 2S Intel V3 | 4S 8S Intel V3 | Multi Node | GPU Rich | 1S V3 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SR635 V3 (7D9H / 7D9G) |
SR655 V3 (7D9F / 7D9E) |
SR645 V3 (7D9D / 7D9C) |
SR665 V3 (7D9B / 7D9A) |
ST650 V3 (7D7B / 7D7A) |
SR630 V3 (7D72 / 7D73) |
SR650 V3 (7D75 / 7D76) |
SR850 V3 (7D97 / 7D96) |
SR860 V3 (7D94 / 7D93) |
SR950 V3 (7DC5 / 7DC4) |
SD535 V3 (7DD8 / 7DD1) |
SD530 V3 (7DDA / 7DD3) |
SD550 V3 (7DD9 / 7DD2) |
SR670 V2 (7Z22 / 7Z23) |
SR675 V3 (7D9Q / 7D9R) |
SR680a V3 (7DHE) |
SR685a V3 (7DHC) |
ST250 V3 (7DCF / 7DCE) |
SR250 V3 (7DCM / 7DCL) |
||
4X67A90669 | ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU | N | 3 | N | 3 | N | N | 3 | N | N | N | N | N | N | 8 | 8 | N | N | N | N |
Part Number | Description | Edge | Super Computing | 1S Intel V2 | 2S Intel V2 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SE350 (7Z46 / 7D1X) |
SE350 V2 (7DA9) |
SE360 V2 (7DAM) |
SE450 (7D8T) |
SE455 V3 (7DBY) |
SD665 V3 (7D9P) |
SD665-N V3 (7DAZ) |
SD650 V3 (7D7M) |
SD650-I V3 (7D7L) |
SD650-N V3 (7D7N) |
ST50 V2 (7D8K / 7D8J) |
ST250 V2 (7D8G / 7D8F) |
SR250 V2 (7D7R / 7D7Q) |
ST650 V2 (7Z75 / 7Z74) |
SR630 V2 (7Z70 / 7Z71) |
SR650 V2 (7Z72 / 7Z73) |
||
4X67A90669 | ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
Part Number | Description | AMD V1 | Dense V2 | 4S V2 | 8S | 4S V1 | 1S Intel V1 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SR635 (7Y98 / 7Y99) |
SR655 (7Y00 / 7Z01) |
SR655 Client OS |
SR645 (7D2Y / 7D2X) |
SR665 (7D2W / 7D2V) |
SD630 V2 (7D1K) |
SD650 V2 (7D1M) |
SD650-N V2 (7D1N) |
SN550 V2 (7Z69) |
SR850 V2 (7D31 / 7D32) |
SR860 V2 (7Z59 / 7Z60) |
SR950 (7X11 / 7X12) |
SR850 (7X18 / 7X19) |
SR850P (7D2F / 2D2G) |
SR860 (7X69 / 7X70) |
ST50 (7Y48 / 7Y50) |
ST250 (7Y45 / 7Y46) |
SR150 (7Y54) |
SR250 (7Y52 / 7Y51) |
||
4X67A90669 | ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
Part Number | Description | 2S Intel V1 | Dense V1 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ST550 (7X09 / 7X10) |
SR530 (7X07 / 7X08) |
SR550 (7X03 / 7X04) |
SR570 (7Y02 / 7Y03) |
SR590 (7X98 / 7X99) |
SR630 (7X01 / 7X02) |
SR650 (7X05 / 7X06) |
SR670 (7Y36 / 7Y37) |
SD530 (7X21) |
SD650 (7X58) |
SN550 (7X16) |
SN850 (7X15) |
||
4X67A90669 | ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU | N | N | N | N | N | N | N | N | N | N | N | N |
Operating system support
The following table lists the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
Operating systems | SR650 V3 (4th Gen Xeon) |
SR650 V3 (5th Gen Xeon) |
SR665 V3 |
SR675 V3 |
SR670 V2 |
---|---|---|---|---|---|
Microsoft Windows 10 | Y | Y | Y | N | N |
Microsoft Windows 11 | Y | Y | Y | N | N |
Microsoft Windows Server 2019 | Y | Y | Y | Y | Y |
Microsoft Windows Server 2022 | Y | Y | Y | Y | Y |
Red Hat Enterprise Linux 8.6 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 8.7 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 8.8 | Y | Y | Y | N | Y |
Red Hat Enterprise Linux 9.0 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 9.1 | Y | N | Y | Y | Y |
Red Hat Enterprise Linux 9.2 | Y | Y | Y | N | Y |
SUSE Linux Enterprise Server 15 SP4 | Y | N | Y | Y | Y |
SUSE Linux Enterprise Server 15 SP5 | Y | Y | Y | N | Y |
Ubuntu 18.04.5 LTS | N | N | N | N | Y |
Ubuntu 20.04.5 LTS | N | N | Y | Y | N |
Ubuntu 22.04 LTS | Y | N | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 8.0 U1 | Y | N | Y | Y | Y |
VMware vSphere Hypervisor (ESXi) 8.0 U2 | Y | Y | Y | Y | Y |
NVIDIA GPU software
This section lists the NVIDIA software that is available from Lenovo.
NVIDIA vGPU Software (vApps, vPC, RTX vWS, and vCS)
Lenovo offers the following virtualization software for NVIDIA GPUs:
- Virtual Applications (vApps)
For organizations deploying Citrix XenApp, VMware Horizon RDSH or other RDSH solutions. Designed to deliver PC Windows applications at full performance. NVIDIA Virtual Applications allows users to access any Windows application at full performance on any device, anywhere. This edition is suited for users who would like to virtualize applications using XenApp or other RDSH solutions. Windows Server hosted RDSH desktops are also supported by vApps.
- Virtual PC (vPC)
This product is ideal for users who want a virtual desktop but need great user experience leveraging PC Windows® applications, browsers and high-definition video. NVIDIA Virtual PC delivers a native experience to users in a virtual environment, allowing them to run all their PC applications at full performance.
- NVIDIA RTX Virtual Workstation (RTX vWS)
NVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation — enabling workstation performance from any device.
- Virtual Compute Server (vCS)
NVIDIA Virtual Compute Server (vCS) enables data centers running on Red Hat Enterprise Linux, Red Hat Virtualization, and other supported KVM-based hypervisors to accelerate server virtualization with the latest NVIDIA data center GPUs, so that the most compute-intensive workloads, such as artificial intelligence, deep learning, and data science, can be run in a virtual machine (VM) powered by NVIDIA vGPU technology.
The following license types are offered:
- Perpetual license
A non-expiring, permanent software license that can be used on a perpetual basis without the need to renew. Each Lenovo part number includes a fixed number of years of Support, Upgrade and Maintenance (SUMS).
- Annual subscription
A software license that is active for a fixed period as defined by the terms of the subscription license, typically yearly. The subscription includes Support, Upgrade and Maintenance (SUMS) for the duration of the license term.
- Concurrent User (CCU)
A method of counting licenses based on active user VMs. If the VM is active and the NVIDIA vGPU software is running, then this counts as one CCU. A vGPU CCU is independent of the connection to the VM.
The following table lists the ordering part numbers and feature codes.
Part number | Feature code 7S02CTO1WW |
Description |
---|---|---|
NVIDIA vApps | ||
7S020003WW | B1MP | NVIDIA vApps Perpetual License and SUMS 5Yr, 1 CCU |
7S020004WW | B1MQ | NVIDIA vApps Subscription License 1 Year, 1 CCU |
7S020005WW | B1MR | NVIDIA vApps Subscription License 3 Years, 1 CCU |
7S02003DWW | S832 | NVIDIA vApps Subscription License 4 Years, 1 CCU |
7S02003EWW | S833 | NVIDIA vApps Subscription License 5 Years, 1 CCU |
NVIDIA vPC | ||
7S020009WW | B1MV | NVIDIA vPC Perpetual License and SUMS 5Yr, 1 CCU |
7S02000AWW | B1MW | NVIDIA vPC Subscription License 1 Year, 1 CCU |
7S02000BWW | B1MX | NVIDIA vPC Subscription License 3 Years, 1 CCU |
7S02003FWW | S834 | NVIDIA vPC Subscription License 4 Years, 1 CCU |
7S02003GWW | S835 | NVIDIA vPC Subscription License 5 Years, 1 CCU |
NVIDIA RTX vWS | ||
7S02000FWW | B1N1 | NVIDIA RTX vWS Perpetual License and SUMS 5Yr, 1 CCU |
7S02000GWW | B1N2 | NVIDIA RTX vWS Subscription License 1 Year, 1 CCU |
7S02000HWW | B1N3 | NVIDIA RTX vWS Subscription License 3 Years, 1 CCU |
7S02000XWW | S6YJ | NVIDIA RTX vWS Subscription License 4 Years, 1 CCU |
7S02000YWW | S6YK | NVIDIA RTX vWS Subscription License 5 Years, 1 CCU |
7S02000LWW | B1N6 | NVIDIA RTX vWS EDU Perpetual License and SUMS 5Yr, 1 CCU |
7S02000MWW | B1N7 | NVIDIA RTX vWS EDU Subscription License 1 Year, 1 CCU |
7S02000NWW | B1N8 | NVIDIA RTX vWS EDU Subscription License 3 Years, 1 CCU |
7S02003BWW | S830 | NVIDIA RTX vWS EDU Subscription License 4 Years, 1 CCU |
7S02003CWW | S831 | NVIDIA RTX vWS EDU Subscription License 5 Years, 1 CCU |
NVIDIA vCS | ||
7S02000ZWW | S6YL | NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 1 Year |
7S020010WW | S6YM | NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 3 Years |
7S020011WW | S6YN | NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), 5 Years |
7S020012WW | S6YP | NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 1 Year |
7S020013WW | S6YQ | NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 3 Years |
7S020014WW | S6YR | NVIDIA Virtual Compute Server Subscription, 1 GPU (Max 10 CC VMs), EDU, 5 Years |
NVIDIA Omniverse Software (OVE)
NVIDIA Omniverse™ Enterprise is an end-to-end collaboration and simulation platform that fundamentally transforms complex design workflows, creating a more harmonious environment for creative teams.
NVIDIA and Lenovo offer a robust, scalable solution for deploying Omniverse Enterprise, accommodating a wide range of professional needs. This document details the critical components, deployment options, and support available, ensuring an efficient and effective Omniverse experience.
Deployment options cater to varying team sizes and workloads. Using Lenovo NVIDIA-Certified Systems™ and Lenovo OVX nodes which are meticulously designed to manage scale and complexity, ensures optimal performance for Omniverse tasks.
Deployment options include:
- Workstations: NVIDIA-Certified Workstations with A5000 or A6000 Ada GPUs for desktop environments.
- Data Center Solutions: Deployment with Lenovo OVX nodes or NVIDIA-Certified Servers equipped with L40, L40S or A40 GPUs for centralized, high-capacity needs.
NVIDIA Omniverse Enterprise includes the following components and features:
- Platform Components: Kit, Connect, Nucleus, Simulation, RTX Renderer.
- Foundation Applications: USD Composer, USD Presenter.
- Omniverse Extensions: Connect Sample & SDK.
- Integrated Development Environment (IDE)
- Nucleus Configuration: Workstation, Enterprise Nucleus Server (supports up to 8 editors per scene); Self-Service Public Cloud Hosting using Containers.
- Omniverse Farm: Supports batch workloads up to 8 GPUs.
- Enterprise Services: Authentication (SSO/SSL), Navigator Microservice, Large File Transfer, User Accounts SAML/Account Directory.
- User Interface: Workstation & IT Managed Launcher.
- Support: NVIDIA Enterprise Support.
- Deployment Scenarios: Desktop to Data Center: Workstation deployment for building and designing, with options for physical or virtual desktops. For batch tasks, rendering, and SDG workloads that require headless compute, Lenovo OVX nodes are recommended.
The following part numbers are for a subscription license which is active for a fixed period as noted in the description. The license is for a named user which means the license is for named authorized users who may not re-assign or share the license with any other person.
Part number | Description |
---|---|
7S02003PWW | NVIDIA Omniverse Enterprise Subscription per Named User, 1 Year |
7S02003QWW | NVIDIA Omniverse Enterprise Subscription per Named User, 3 Year |
7S02003RWW | NVIDIA Omniverse Enterprise Subscription per Named User, EDU, 1 Year |
7S02003SWW | NVIDIA Omniverse Enterprise Subscription per Named User, EDU, 3 Year |
NVIDIA AI Enterprise Software
Lenovo offers the NVIDIA AI Enterprise (NVAIE) cloud-native enterprise software. NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere and bare-metal with NVIDIA-Certified Systems™. It includes key enabling technologies from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
NVIDIA AI Enterprise is licensed on a per-GPU basis. NVIDIA AI Enterprise products can be purchased as either a perpetual license with support services, or as an annual or multi-year subscription.
- The perpetual license provides the right to use the NVIDIA AI Enterprise software indefinitely, with no expiration. NVIDIA AI Enterprise with perpetual licenses must be purchased in conjunction with one-year, three-year, or five-year support services. A one-year support service is also available for renewals.
- The subscription offerings are an affordable option to allow IT departments to better manage the flexibility of license volumes. NVIDIA AI Enterprise software products with subscription includes support services for the duration of the software’s subscription license
The features of NVIDIA AI Enterprise Software are listed in the following table.
Features | Supported in NVIDIA AI Enterprise |
---|---|
Per GPU Licensing | Yes |
Compute Virtualization | Supported |
Windows Guest OS Support | No support |
Linux Guest OS Support | Supported |
Maximum Displays | 1 |
Maximum Resolution | 4096 x 2160 (4K) |
OpenGL and Vulkan | In-situ Graphics only |
CUDA and OpenCL Support | Supported |
ECC and Page Retirement | Supported |
MIG GPU Support | Supported |
Multi-vGPU | Supported |
NVIDIA GPUDirect | Supported |
Peer-to-Peer over NVLink | Supported |
GPU Pass Through Support | Supported |
Baremetal Support | Supported |
AI and Data Science applications and Frameworks | Supported |
Cloud Native ready | Supported |
Note: Maximum 10 concurrent VMs per product license
The following table lists the ordering part numbers and feature codes.
Part number | Feature code 7S02CTO1WW |
Description |
---|---|---|
AI Enterprise Perpetual License | ||
7S020019WW | S6YW | NVIDIA AI Enterprise Perpetual License and Support per GPU, 1 Year |
7S02001AWW | S6YX | NVIDIA AI Enterprise Perpetual License and Support per GPU, 3 Years |
7S02001BWW | S6YY | NVIDIA AI Enterprise Perpetual License and Support per GPU, 5 Years |
7S02001CWW | S6YZ | NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 1 Year |
7S02001DWW | S6Z0 | NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 3 Years |
7S02001EWW | S6Z1 | NVIDIA AI Enterprise Perpetual License and Support per GPU, EDU, 5 Years |
AI Enterprise Subscription License | ||
7S02001FWW | S6Z2 | NVIDIA AI Enterprise Subscription License and Support per GPU, 1 Year |
7S02001GWW | S6Z3 | NVIDIA AI Enterprise Subscription License and Support per GPU, 3 Years |
7S02001HWW | S6Z4 | NVIDIA AI Enterprise Subscription License and Support per GPU, 5 Years |
7S02001JWW | S6Z5 | NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 1 Year |
7S02001KWW | S6Z6 | NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 3 Years |
7S02001LWW | S6Z7 | NVIDIA AI Enterprise Subscription License and Support per GPU, EDU, 5 Years |
Find more information in the NVIDIA AI Enterprise Sizing Guide.
NVIDIA HPC Compiler Software
Part number | Feature code 7S09CTO6WW |
Description |
---|---|---|
HPC Compiler Support Services | ||
7S090014WW | S924 | NVIDIA HPC Compiler Support Services, 1 Year |
7S090015WW | S925 | NVIDIA HPC Compiler Support Services, 3 Years |
7S09002GWW | S9UQ | NVIDIA HPC Compiler Support Services, 5 Years |
7S090016WW | S926 | NVIDIA HPC Compiler Support Services, EDU, 1 Year |
7S090017WW | S927 | NVIDIA HPC Compiler Support Services, EDU, 3 Years |
7S09002HWW | S9UR | NVIDIA HPC Compiler Support Services, EDU, 5 Years |
7S090018WW | S928 | NVIDIA HPC Compiler Support Services - Additional Contact, 1 Year |
7S09002JWW | S9US | NVIDIA HPC Compiler Support Services - Additional Contact, 3 Years |
7S09002KWW | S9UT | NVIDIA HPC Compiler Support Services - Additional Contact, 5 Years |
7S090019WW | S929 | NVIDIA HPC Compiler Support Services - Additional Contact, EDU, 1 Year |
7S09002LWW | S9UU | NVIDIA HPC Compiler Support Services - Additional Contact, EDU, 3 Years |
7S09002MWW | S9UV | NVIDIA HPC Compiler Support Services - Additional Contact, EDU, 5 Years |
HPC Compiler Premier Support Services | ||
7S09001AWW | S92A | NVIDIA HPC Compiler Premier Support Services, 1 Year |
7S09002NWW | S9UW | NVIDIA HPC Compiler Premier Support Services, 3 Years |
7S09002PWW | S9UX | NVIDIA HPC Compiler Premier Support Services, 5 Years |
7S09001BWW | S92B | NVIDIA HPC Compiler Premier Support Services, EDU, 1 Year |
7S09002QWW | S9UY | NVIDIA HPC Compiler Premier Support Services, EDU, 3 Years |
7S09002RWW | S9UZ | NVIDIA HPC Compiler Premier Support Services, EDU, 5 Years |
7S09001CWW | S92C | NVIDIA HPC Compiler Premier Support Services - Additional Contact, 1 Year |
7S09002SWW | S9V0 | NVIDIA HPC Compiler Premier Support Services - Additional Contact, 3 Years |
7S09002TWW | S9V1 | NVIDIA HPC Compiler Premier Support Services - Additional Contact, 5 Years |
7S09001DWW | S92D | NVIDIA HPC Compiler Premier Support Services - Additional Contact, EDU, 1 Year |
7S09002UWW | S9V2 | NVIDIA HPC Compiler Premier Support Services - Additional Contact, EDU, 3 Years |
7S09002VWW | S9V3 | NVIDIA HPC Compiler Premier Support Services - Additional Contact, EDU, 5 Years |
Auxiliary power cables
The GPU option part number does not ship with auxiliary power cables. Cables are server-specific due to length requirements and the connector on the server end of the cable. For CTO orders, auxiliary power cables are derived by the configurator. For field upgrades, cables will need to be ordered separately as listed in the table below.
Tip: The names of the cable options below may only include the H100 or L40 GPU, however these cables are also supported with the L40S.
Regulatory approvals
The NVIDIA L40S GPU has the following regulatory approvals:
- RCM
- BSMI
- CE
- FCC
- ICES
- KCC
- cUL, UL
- VCCI
Operating environment
The NVIDIA L40S GPU has the following operating characteristics:
- Ambient temperature
- Operational: 0°C to 50°C (-5°C to 55°C for short term*)
- Storage: -40°C to 75°C
- Relative humidity:
- Operational: 5 to 85% (5 to 93% short term*)
- Storage: 5 to 95%
* A period not more than 96 hours consecutive, not to exceed 15 days per year.
Warranty
One year limited warranty. When installed in a Lenovo server, the GPU assumes the server’s base warranty and any warranty upgrades.
Seller training courses
The following sales training courses are offered for employees and partners (login required). Courses are listed in date order.
-
Generative AI Overview Foundational
2024-02-16 | 17 minutes | Employees Only
DetailsGenerative AI Overview FoundationalIt seems the whole world is excited about Generative AI, and while some of it is just hype, it has become clear that Generative AI has the potential to revolutionize many aspects of our personal and professional lives. In this brief NVIDIA course, we'll explore one aspect of the Generative AI excitement, the value you get from Generative AI technology. We will discuss what Generative AI is, how it works, and how enterprises are planning to use this technology.
Published: 2024-02-16
By the end of this course, you will be able to discuss the Generative AI market trends and the challenges in this space with your customers. And you will be able to explain what Generative AI is and how the technology works to help enterprises unlock new opportunities for business.
Length: 17 minutes
Employee link: Grow@Lenovo
Course code: DAINVD106 -
Industry Use Cases in Modern Computing Foundational
2024-02-16 | 9 minutes | Employees Only
DetailsIndustry Use Cases in Modern Computing FoundationalAs GPU powered computing continues to improve exponentially, applications that were once science fiction are becoming best practice. This is an introductory NVIDIA course that explores some exciting industry focused use cases that are providing companies with faster time to insight, productivity at scale and a great ROI.
Published: 2024-02-16
By the end of this course, you will be able to explain how companies in a few key industry verticals are benefiting from a variety of accelerated compute use cases.
Length: 9 minutes
Employee link: Grow@Lenovo
Course code: DAINVD105 -
Introduction to Artificial Intelligence Foundational
2024-02-16 | 10 minutes | Employees Only
DetailsIntroduction to Artificial Intelligence FoundationalThis NVIDIA course aims to answer questions such as, what is AI and why are enterprises so interested in it? and how does AI happen, why are GPUs so important for it, and what does a good AI solution look like?
Published: 2024-02-16
By the end of this training, you should be able to describe AI and relate it to some common enterprise use cases. You'll know the difference between training and inference and be able to visualize a typical AI workflow. More importantly, you'll understand the difficulties of traditional CPU-based AI and appreciate why businesses would benefit greatly by adopting GPU-accelerated workflows. Finally, you'll also understand what features contribute to an awesome AI solution and why customers respect and enjoy NVIDIA's solutions.
Length: 10 minutes
Employee link: Grow@Lenovo
Course code: DAINVD104 -
GPU Fundamentals Foundational
2024-02-16 | 10 minutes | Employees Only
DetailsGPU Fundamentals FoundationalThis NVIDIA course introduces you to two devices that a computer typically uses to process information, the CPU and the GPU. We'll discuss their differences and look at how the GPU overcomes the limitations of the CPU. Once you understand the power and advantages of GPU processing, we will talk about the value GPUs bring to modern-day enterprise computing.
Published: 2024-02-16
By the end of this course, you should know the difference between serial and parallel processing. You will be able to explain what a GPU is in very simple terms and explain the value that GPUs bring to enterprises. Additionally, you'll become familiar with the typical GPU-accelerated enterprise workloads and list one or two use cases under them. By the time you exit this course, you should be able to target various GPU-accelerated computing opportunities with the right NVIDIA GPU.
Length: 10 minutes
Employee link: Grow@Lenovo
Course code: DAINVD103 -
Partner Technical Webinar – NVidia
2023-12-11 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar – NVidiaIn this 60-minute replay, Brad Davidson of Nvidia will help us recognize AI Trends, and Discuss Industry Verticals Marketing.
Published: 2023-12-11
Length: 60 minutes
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning
Course code: 120823 -
NVIDIA L40S GPU Overview and Business Use Case
2023-10-12 | 60 minutes | Employees Only
DetailsNVIDIA L40S GPU Overview and Business Use CaseWelcome to the NVIDIA L40S GPU Overview and Business Use Case course. This course offers a closer look at the L40S GPU, featuring a webinar presented by Brad Davidson from NVIDIA. Throughout this course, we delve deep into the L40S GPU's capabilities, provide situational use cases, guide you on effectively positioning the L40S in various scenarios, and facilitate a meaningful comparison between the L40S and DGX systems.
Published: 2023-10-12
Completing this course will enable you to:
• Describe the basics of NVIDIA L40S
• Discuss how NVIDIA L40S delivers level performance for AI
• Discuss generative AI and omniverse
Length: 60 minutes
Employee link: Grow@Lenovo
Course code: DAINVD102
Related publications
For more information, refer to these documents:
- ThinkSystem and ThinkAgile GPU Summary:
https://lenovopress.lenovo.com/lp0768-thinksystem-thinkagile-gpu-summary - ServerProven compatibility:
http://www.lenovo.com/us/en/serverproven - Lenovo Reference Architecture for Generative AI Based on Large Language Models (LLMs)
https://lenovopress.lenovo.com/lp1798-reference-architecture-for-generative-ai-based-on-large-language-models - NVIDIA L40S product page:
https://www.nvidia.com/en-us/data-center/l40s/
Trademarks
Lenovo and the Lenovo logo are trademarks or registered trademarks of Lenovo in the United States, other countries, or both. A current list of Lenovo trademarks is available on the Web at https://www.lenovo.com/us/en/legal/copytrade/.
The following terms are trademarks of Lenovo in the United States, other countries, or both:
Lenovo®
ServerProven®
ThinkAgile®
ThinkSystem®
The following terms are trademarks of other companies:
Intel® and Xeon® are trademarks of Intel Corporation or its subsidiaries.
Linux® is the trademark of Linus Torvalds in the U.S. and other countries.
Microsoft®, DirectX®, Windows Server®, and Windows® are trademarks of Microsoft Corporation in the United States, other countries, or both.
Other company, product, or service names may be trademarks or service marks of others.
Configure and Buy
Full Change History
Changes in the December 15, 2023 update:
- The L40S is now supported in the SR665 V3 and SR650 V3 - Server support section
- Updated auxiliary power cable information - Auxiliary power cables section
Changes in the November 3, 2023 update:
- Added OS support information - Operating system support section
First published: September 12, 2023